Collaborative Research: Optimization of Urban Designs for Air Quality and Energy Efficiency

合作研究：空气质量和能源效率城市设计优化

• 批准号: 0828214
• 负责人: Eric Pardyjak
• 金额: $ 16.97万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2012-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0828214&HistoricalAwards=false
• 关键词: Collaborative; Research; Optimization; Urban; Designs

CBET- 0828214Pardyjak, Eric - U. UtahCBET-0828206Willemsen, Peter - U. MinnesotaThe objective of this proposal is to increase knowledge for how environment and urban form interact. Its hypothesis is that optimal urban structures and layouts exist which can minimize energy use while also minimizing air pollution exposure.An extremely fast and inexpensive energy use and dispersion modeling tool for urban areas will be developed by building on PIs previous work. The modeling system will utilize the unique computational parallelism afforded by graphics processing units (GPUs, that are regularly utilized in the video game industry), to run many simulations in an effort to train an optimization algorithm for determining optimal designs for urban structures and their layout. This proposed research will also utilize an interactive and immersive virtual environment to provide better understanding and refinement of the complex physical processes associated with the energy balance and pollutant dispersion in an urban setting. Modeling capabilities that will be developed through this work will aid urban planners in developing useful and novel planning strategies to improve the sustainability of modern cities. The PIs will work with urban planners throughout the model development process. These modeling capabilities will also aid architects by providing them with a tool that not only analyzes isolated buildings, but also provides understanding regarding the interaction of multiple buildings during the design process. In addition, this proposal has a substantial outreach component designed to provide a unique educational opportunity for American Indians, Alaskan Natives, and other minorities to learn about various aspects of modeling in environmental engineering. Through our program, American Indian students from Northern Minnesota will be invited to a weeklong interactive learning symposium during each of the three years of the grant.

CBET-0828214Pardyjak，Eric-U犹他州CBET-0828206威勒姆森，Peter-U明尼苏达州这项提案的目的是增加对环境和城市形态如何相互作用的认识。它的假设是存在最优的城市结构和布局，可以最大限度地减少能源消耗，同时也可以最大限度地减少空气污染暴露。在PI之前工作的基础上，开发了一个非常快速、廉价的城市区域能源消耗和扩散建模工具。建模系统将利用图形处理单元(视频游戏行业中经常使用的GPU)提供的独特计算并行性来运行许多模拟，以努力训练用于确定城市结构及其布局的最佳设计的优化算法。这项拟议的研究还将利用交互式和身临其境的虚拟环境，以更好地了解和改进与城市环境中的能量平衡和污染物扩散相关的复杂物理过程。将通过这项工作开发的建模能力将帮助城市规划者制定有用和新颖的规划战略，以提高现代城市的可持续性。PIS将在整个模型开发过程中与城市规划者合作。这些建模功能还将通过为建筑师提供一个工具来帮助他们，该工具不仅可以分析孤立的建筑，还可以了解设计过程中多个建筑的相互作用。此外，这项提案还有一个重要的外展部分，旨在为美国印第安人、阿拉斯加原住民和其他少数族裔提供一个独特的教育机会，让他们了解环境工程建模的各个方面。通过我们的计划，来自明尼苏达州北部的美国印第安人学生将被邀请参加为期一周的互动学习研讨会，在三年的拨款期间每年。